Machine Learning Engineer at IQVIA

Madrid, Community of Madrid, Spain

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Not SpecifiedCompensation

Junior (1 to 2 years)Experience Level

Full TimeJob Type

UnknownVisa

Healthcare, Life Sciences, PharmaceuticalsIndustries

Requirements

2-4 years of commercial experience working on creating machine learning algorithms
Demonstrated ability to apply an engineering mindset to problem-solving
Extensive programming experience using Python
Experience working with large, real world datasets
Master's Degree in Machine Learning, Statistics, Computer Science, Physics, Math, or related field
Good commercial awareness/business judgement and an interest in the healthcare industry
Good project management, time management and organisational skills; eagerness to work with internal and client business owners

Responsibilities

Develop fit for purpose AIML models/algorithms/processes to address pharma/healthcare applications and innovative products upon completion of prototypes
Build production grade algorithms/automation engines for client deliverables
Test for viability in order to deliver final products to clients
Bring newly researched ideas to reality quickly and on a large scale
Design, build, test, and deliver products from post-prototype to client delivery
Support development of generative AI solutions in the life sciences domain
Fine-tune pre-trained foundation models and support different stakeholders with analysis and implementation
Facilitate the transformation of machine learning research domain expertise in the areas of human data into viable prototypes
Facilitate the development of features of models on individual projects and/or products with guidance and support from others
Develop understanding of the creation of new algorithms through working alongside other Machine Learning Engineers and Machine Learning Research Scientists
Facilitate the building and training of new production grade algorithms that can learn from complex, high dimensionality data in order to uncover patterns from which machine learning models and applications can be developed
Use a variety of techniques in order to improve the performance of individual natural language processing and/or machine learning algorithms
Facilitate the testing and validation of models to determine viability for deployment with guidance and support from others
Consult for internal and external clients, implement solution development and innovation to meet clients' needs, facilitate client AI project technical delivery

Skills

Machine Learning

Generative AI

Fine-tuning

Foundation Models

Natural Language Processing

Python

Algorithms

Prototyping

Model Training

Model Validation

AI Deployment

IQVIA

Advanced analytics and clinical research services

About IQVIA

IQVIA provides advanced analytics, technology solutions, and clinical research services specifically for the life sciences industry. Their services utilize extensive data resources and technology to create connections within healthcare, allowing clients to gain insights that help speed up the development and marketing of new medical treatments. This process is facilitated by their IQVIA Connected Intelligence™ system, which offers quick and flexible insights. IQVIA stands out from competitors by focusing on patient privacy, employing various technologies to protect individual data. The company's goal is to enhance healthcare outcomes by supporting biotech, pharmaceutical, and medical device companies, as well as researchers and government agencies, in understanding diseases and advancing medical science.

Durham, North CarolinaHeadquarters

1998Year Founded

$3,526MTotal Funding

POST_IPO_EQUITYCompany Stage

Cybersecurity, Biotechnology, HealthcareIndustries

10,001+Employees

Risks

Rapid advancement of cancer vaccines may disrupt traditional clinical research models.

Proliferation of disparate technological solutions causes technology overload in clinical trials.

Generative AI technologies face challenges in adoption due to data privacy concerns.

Differentiation

IQVIA leverages advanced analytics and big data for life sciences solutions.

The company offers privacy-enhancing technologies to protect individual patient data.

IQVIA's AI Assistant provides rapid, actionable insights for healthcare and life sciences.

Upsides

Increased adoption of decentralized clinical trials enhances patient-centric study designs.

AI-driven drug discovery accelerates identification of potential drug candidates.

Expansion of telemedicine facilitates remote patient monitoring and data collection.

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